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arXiv 2109.07907cs.CY
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ACII社区的多样性如何?分析情感计算研究的性别、地理和业务多样性

How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research

Isabelle Hupont, Songül Tolan, Ana Freire, Lorenzo Porcaro, Sara Estevez, Emilia Gómez

摘要:

ACII是展示情感计算最新研究的首要国际论坛。在这项工作中,我们监测,量化和反映在ACII会议的多样性在不同的时间通过计算一组指数。我们从性别、地理位置、学术界、研究中心和行业三个方面衡量多样性,并考虑三个不同的参与者:作者、主题演讲者和组织者。结果提高了人们对该领域有限多样性的认识,在所有研究方面,并与其他AI会议相比。虽然性别多样性相对较高,但平等远未实现。该社区由欧洲,亚洲和北美的研究人员主导,领先于代表性不足的其他大陆。此外,还严重缺乏专注于应用研究和产品的公司和研究中心。这项研究促进了社区对多样性的需要和相关挑战的讨论,以最大限度地减少发达系统对所代表的群体的潜在偏见。我们打算我们的文件作出贡献的第一次分析,考虑作为一个监测工具时,实施多样性举措。本研究收集的数据通过欧洲divinAI倡议公开发布。

英文摘要:

ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conference across time by computing a set of indexes. We measure diversity in terms of gender, geographic location and academia vs research centres vs industry, and consider three different actors: authors, keynote speakers and organizers. Results raise awareness on the limited diversity in the field, in all studied facets, and compared to other AI conferences. While gender diversity is relatively high, equality is far from being reached. The community is dominated by European, Asian and North American researchers, leading the rest of continents under-represented. There is also a strong absence of companies and research centres focusing on applied research and products. This study fosters discussion in the community on the need for diversity and related challenges in terms of minimizing potential biases of the developed systems to the represented groups. We intend our paper to contribute with a first analysis to consider as a monitoring tool when implementing diversity initiatives. The data collected for this study are publicly released through the European divinAI initiative.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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